David Helen

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> Ok nice. What have you tried so far? @BenjaminIrwin

> Hey for local data try taking the image variations config and then replace the data part with something like this: > > ``` > data: > target: main.DataModuleFromConfig >...

> And I want to know, where is the condition image feeded into and where is the input feeded into? What are the requirements for condition image? @justinpinkney

> f you have issues feel free to post your config and any error. I'm curious what sort of dataset you're planning on using if you're willing to share details!...

@justinpinkney hello,I have reloaded the vae weights, but the results are also like this : condition input: ![image](https://user-images.githubusercontent.com/47957015/218347353-ed19f55d-8235-4443-85df-766b6a0de83e.png) input: ![image](https://user-images.githubusercontent.com/47957015/218347384-cb0418f4-8ab3-439d-9bc4-9a5d4a9353ae.png) reconstruction: ![image](https://user-images.githubusercontent.com/47957015/218347417-44870291-cf3e-4cc8-bd69-771b26b56b41.png) samples: ![image](https://user-images.githubusercontent.com/47957015/218347458-41e65aba-8f5b-4274-a669-dc868155f652.png) These images above are sampling after...

@justinpinkney hello the vae checkpoints are these right? ![image](https://user-images.githubusercontent.com/47957015/218356838-d0b9357e-0eda-41f0-99b3-3359f49b7118.png)

now the reconstruction is like this: ![image](https://user-images.githubusercontent.com/47957015/218363659-e5360fd8-7bdd-41ea-ad8e-a232871b38df.png) samples are like this: ![image](https://user-images.githubusercontent.com/47957015/218363760-02cdea2b-41ad-4cf9-86e5-b25772686b40.png) @justinpinkney

@justinpinkney hello the output is 1.1G ![image](https://user-images.githubusercontent.com/47957015/219053365-5818eda7-35b6-4036-b62b-191377504c53.png) The size is right, and i do not have any resolution to solve my problem, canyou give me a example configure abut the...

This is my command line : CUDA_VISIBLE_DEVICES=7 python main.py --base stable-diffusion/configs/fanghua_cond.yaml -t --gpus 0, and my config is: `model: base_learning_rate: 1.0e-04 target: ldm.models.diffusion.ddpm.LatentDiffusion params: linear_start: 0.00085 linear_end: 0.0120 num_timesteps_cond: 1...